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Nla Create

OrganizationPopular
internet-court
nla-create

Create a Natural Language Agreement escrow on-chain. Use when the user wants to lock ERC20 tokens in an escrow with a natural language demand that an AI oracle will arbitrate. Handles demand crafting, parameter gathering, and CLI execution.

Overview

Publisherinternet-court
Repositoryinternet-court-skill
Skill namenla-create
Stars
5.8K
Forks
106
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by internet-court on GitHub. Read the source before you install it.

Installation

Install the Nla Create AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/internet-court/internet-court-skill.git /tmp/internet-court-skill
mkdir -p .claude/skills
cp -r /tmp/internet-court-skill/vendored/arkhai/nla-create .claude/skills/nla-create
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Nla Create in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Nla Create on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Nla Create is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Create NLA Escrow

Help the user create a blockchain escrow backed by a natural language demand using the nla CLI.

Overview

An NLA escrow locks ERC20 tokens on-chain. Anyone can attempt to fulfill the escrow's natural language demand. An AI oracle evaluates fulfillments and releases the tokens if the demand is satisfied.

Step-by-step instructions

1. Gather requirements

Collect the following from the user conversationally:

Required:

  • Demand: The natural language condition that must be fulfilled. Help the user craft something clear and unambiguous.
  • Amount: Number of tokens to escrow (in the token's smallest unit - no automatic decimal conversion).
  • Token address: ERC20 token contract address (0x...).
  • Oracle address: Address of the oracle that will arbitrate.

Optional:

  • Arbitration provider: OpenAI (default), Anthropic, or OpenRouter.
  • Arbitration model: e.g. gpt-4o-mini (default), claude-3-5-sonnet-20241022, openai/gpt-4o.
  • Arbitration prompt: Custom prompt template with {{demand}} and {{obligation}} placeholders.

2. Check prerequisites

bash
# Verify CLI is available
which nla

# Check current network
nla network

# Check wallet is configured
nla wallet:show

If no wallet is configured, the user must either:

  • Run nla wallet:set --private-key <key>
  • Pass --private-key <key> to the command
  • Set the PRIVATE_KEY environment variable

3. Help craft the demand

Guide the user to write an effective demand:

  • Be specific and evaluable by an LLM
  • Consider: what counts as valid fulfillment? Is the condition verifiable?
  • For claims requiring real-world knowledge, suggest models with search (Perplexity search is available if the oracle has it configured)
  • The demand, provider, model, and prompt are all encoded on-chain and publicly visible - never include secrets

4. Execute escrow creation

bash
nla escrow:create \
  --demand "<demand text>" \
  --amount <amount> \
  --token <token_address> \
  --oracle <oracle_address> \
  [--arbitration-provider "<provider>"] \
  [--arbitration-model "<model>"] \
  [--arbitration-prompt "<prompt>"]

5. Record output

The command outputs an escrow UID (0x...). This UID is needed for fulfillment and collection. Present it clearly to the user and explain next steps.

Key details

  • Available networks: anvil (local), sepolia, base-sepolia, mainnet. Switch with nla switch <network>.
  • For local dev, nla dev starts Anvil, deploys contracts, creates mock tokens, and starts the oracle.
  • Public demo oracle on Sepolia: 0xc5c132B69f57dAAAb75d9ebA86cab504b272Ccbc.
  • Default arbitration prompt:
    Evaluate the fulfillment against the demand and decide whether the demand was validly fulfilled
    
    Demand: {{demand}}
    
    Fulfillment: {{obligation}}

Example

bash
nla escrow:create \
  --demand "Provide a valid proof that P != NP" \
  --amount 1000000 \
  --token 0xa513e6e4b8f2a923d98304ec87f64353c4d5c853 \
  --oracle 0xf39Fd6e51aad88F6F4ce6aB8827279cffFb92266 \
  --arbitration-provider "Anthropic" \
  --arbitration-model "claude-3-5-sonnet-20241022"

Frequently asked questions

What does the Nla Create AI skill do?

Create a Natural Language Agreement escrow on-chain. Use when the user wants to lock ERC20 tokens in an escrow with a natural language demand that an AI oracle will arbitrate. Handles demand crafting, parameter gathering, and CLI execution.

Why use Nla Create on TypingMind?

Because you install it once and use it with any model. Nla Create is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Nla Create in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/internet-court/internet-court-skill/tree/main/vendored/arkhai/nla-create. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Nla Create?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Nla Create?

As many as you like. As long as a model supports skills, you can use Nla Create with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Nla Create AI skill free?

It is published on GitHub by internet-court. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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